Merge pull request udacity#54 from chvlyl/patch-2

you're network -> your network

sentiment-rnn/Sentiment RNN.ipynb

@@ -754,7 +754,7 @@
     "drop = tf.contrib.rnn.DropoutWrapper(cell, output_keep_prob=keep_prob)\n",
     "```\n",
     "\n",
-    "Most of the time, you're network will have better performance with more layers. That's sort of the magic of deep learning, adding more layers allows the network to learn really complex relationships. Again, there is a simple way to create multiple layers of LSTM cells with `tf.contrib.rnn.MultiRNNCell`:\n",
+    "Most of the time, your network will have better performance with more layers. That's sort of the magic of deep learning, adding more layers allows the network to learn really complex relationships. Again, there is a simple way to create multiple layers of LSTM cells with `tf.contrib.rnn.MultiRNNCell`:\n",
     "\n",
     "```\n",
     "cell = tf.contrib.rnn.MultiRNNCell([drop] * lstm_layers)\n",